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An Iterative Least Square Approach to Elastic-Lidar Retrievals for Well-Characterized Aerosols

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3 Author(s)
Marchant, C.C. ; Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA ; Moon, T.K. ; Gunther, J.H.

An iterative least square method is presented for estimating the solution to the lidar equation. The method requires knowledge of the backscatter values at a boundary point for all channels and a priori defined relationships between backscatter, extinction, and mass-fraction concentration for all scattering components. The lidar equation is formulated in vector form, and a solution is computed using an iterative least square technique. The solution is stable for signals with extremely low signal-to-noise ratios and for signals at ranges far beyond the boundary point. The solution can be applied to lidar signals with an arbitrary number of wavelengths and scattering components.

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:48 ,  Issue: 5 )